Video course · 13 chapters · 52 min · certificate
Part 19 - AI-Augmented HRM
AI-augmented HRM: defining it, how it differs from other HR technology, a conceptual model and multi-level development framework, applications, ethics, equity and work impact, implementation challenges and recommendations, legal aspects and a Hilton HR chatbot case study.
What you'll learn
- Define AI-augmented HRM
- Distinguish it from other HR tech
- Use a conceptual model and framework
- Apply AI to HR functions ethically
- Address bias and implementation challenges
- Learn from the Hilton chatbot case
Chapters
13 chapters · 52:02-
2:01
01Intro Members
Introduction
A new module on innovation.
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2:41
02Concepts Members
Defining AI-augmented HRM
What it means.
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3:15
03Tech Members
HR technology differences
e-HRM, HRIS, AI HRM.
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4:09
04Model Members
Conceptual model
Parameters.
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12:30
05Framework Members
AI development framework
Multi-level.
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6:11
06Applications Members
Applications of AI in HR
From research.
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2:47
07Ethics Members
Ethical considerations
First and foremost.
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1:47
08Equity Members
Impact on equity and work
Regulation needed.
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3:15
09Challenges Members
Implementation challenges
Bias first.
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2:55
10Recommendations Members
Implementation recommendations
Invest in AI knowledge.
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1:13
11Legal Members
Legal and regulatory aspects
Risks.
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1:47
12Case Members
Hilton chatbot case study
Background.
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7:31
13Outcomes Members
Case outcomes and insights
Freed-up HR time.
Jobs this course suits
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